RiseFlake

AI Data Engineer

AI Data Engineer

Nagarro

Nagarro
  • 3-6 yrs
  • Not disclosed
  • Remote

Full-time · Remote

1 opening

Applications for this job are closed

This listing is no longer accepting applications, but we're keeping it up for reference.

Job description

Nagarro is actively seeking a highly skilled and experienced Data Engineer to join our dynamic team. This pivotal role involves designing, developing, and maintaining robust data pipelines and analytical solutions that drive informed business decisions. If you have a strong background in data extraction, transformation, and analysis, and are eager to contribute to a data-driven culture, we encourage you to apply for this exciting Data Engineer opportunity.

Key Responsibilities

  • Develop, maintain, and enhance interactive dashboards and reports using tools like Tableau and Power BI, ensuring insightful data visualization for stakeholders.
  • Perform complex data extraction, transformation, and analysis on large datasets leveraging Python, MySQL, and SQL, guaranteeing data accuracy and reliability.
  • Utilize data manipulation libraries such as Pandas and NumPy for efficient data processing and robust statistical analysis.
  • Seamlessly integrate data from disparate sources, ensuring data quality, consistency, and integrity across all platforms.
  • Collaborate closely with business stakeholders to meticulously gather reporting requirements and translate them into effective, data-driven solutions.
  • Generate routine and ad-hoc reports, providing actionable business insights that support strategic decision-making.
  • Support and optimize workflow automation and scheduling processes, potentially utilizing tools like Apache Airflow for enhanced operational efficiency.
  • Execute complex queries and interact with analytical databases, including ClickHouse, to extract critical information.
  • Partner with Data Engineering and IT teams to facilitate rigorous data validation, development, and system integration efforts.
  • Actively participate in Agile development ceremonies and meticulously document all reporting processes and workflows to ensure maintainability and transparency.

Requirements

  • A minimum of 3 to 6 years of professional experience in a Data Engineering, Data Analyst, or similar role.
  • Proficiency in Python for data manipulation, scripting, and automation tasks.
  • Strong expertise in database management and querying, specifically with MySQL and SQL.
  • Demonstrated experience in developing interactive dashboards and reports using Tableau.
  • Hands-on experience with data analysis libraries such as Pandas and NumPy.
  • Familiarity with analytical databases like ClickHouse and workflow orchestration tools like Apache Airflow.
  • Proven ability to work effectively in an Agile development environment, adapting to evolving requirements.
  • Excellent analytical, problem-solving, and critical thinking skills, with an eye for detail.
  • Strong communication and stakeholder management abilities, capable of translating technical insights to non-technical audiences.

What We Offer

  • Opportunity to work with cutting-edge data technologies and contribute to high-impact projects at Nagarro.
  • A collaborative and supportive work environment that fosters innovation and professional growth.
  • Competitive compensation and a chance to make a significant impact within a growing global organization.
  • Exposure to a diverse range of industries and complex data challenges.
  • Continuous learning and development opportunities to enhance your skill set in the data engineering domain.

Job details

Role
AI Data Engineer
Category
Data Engineer, Information Technology (IT), Software Development
Employment type
Full-time
Work mode
Remote
Experience
3-6 yrs
Salary
Not disclosed
Location
Remote
Openings
1
Who can apply
Professionals • 3-6 years of experience

Key skills

  • Airflow
  • ClickHouse
  • MySQL
  • NumPy
  • Pandas
  • Power BI
  • Python
  • SQL
  • Tableau

Perks and benefits

  • Certificate / Experience Letter
  • Laptop / Equipment Provided
  • Stipend / Salary
  • Training and Mentorship

About the company

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